Evaluate Semantic Kernel with prompt flow This article describes the seamless integration between prompt flow and Semantic Kernel, and demonstrates how to evaluate Semantic Kernel plugins and planners ...

AI is only as useful as the instructions you give it. The difference between a generic response and a powerful one often comes down to the prompt. Across industries, from marketing and software ...

Abstract: The incorporation of large language models (LLMs) in company software amplified the necessity for efficient AI orchestration systems. Microsoft Semantic Kernel is an optimized open-source ...

AI prompts and templates can help to support PPC professionals from campaign planning to paid media reporting. So, we created a list of example prompts for you to use and adapt to your needs. With the ...

When using Function Calls in a Semantic Kernel Prompt Template, and naming an injected KernelArgument to be passed to the function. The argument is converted to a str() by the VarBlock causing the ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

Abstract: Existing leading remote sensing change detection (RSCD) often takes a semantic-agnostic learning paradigm, which uses a binary ground-truth mask as supervision for model training. Despite ...